Tine Bertoncel

Dr. Tine Bertoncel

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2018 in Systems Research and Behavioral Science
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Journal Article
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TBTine Bertoncel
Tine Bertoncel
IEIvan Erenda
Ivan Erenda
Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
Vasja RoblekVasja Roblek
Vasja Roblek
MMMaja Meško
Maja Meško

12 March 2020 in Data
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Journal Article
Open access
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Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
TBTine Bertoncel
Tine Bertoncel
Maja MeskoMaja Mesko
Maja Mesko
DVDalia Suša Vugec
Dalia Suša Vugec
LILucija Ivančić
Lucija Ivančić
The goal of this research was to investigate the level of digital divide among selected European countries according to the big data usage among their enterprises. For that purpose, we apply the K-means clustering methodology on the Eurostat data about the big data usage in European enterprises. The results indicate that there is a significant difference between selected European countries according to the overall usage of big data in their enterprises. Moreover, the enterprises that use internal experts also used diverse big data sources. Since the usage of diverse big data sources allows enterprises to gather more relevant information about their customers and competitors, this indicates that enterprises with stronger internal big data expertise also have a better chance of building strong competitiveness based on big data utilization. Finally, the substantial differences among the industries were found according to the level of big data usage.

1 May 2017 in Organizacija
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Journal Article
Open access
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FKFriderika Kresal
Friderika Kresal
TBTine Bertoncel
Tine Bertoncel
Maja MeskoMaja Mesko
Maja Mesko
Background and purpose: Professional drivers as a group are exposed to high risk of developing low back pain due to ergonomic factors and work conditions. The purpose of the study was to examine to what extent the low back pain occurs among Slovene professional drivers as a result of the development of various psychosocial factors. Methodology: The study involved 275 respondents (professional bus drivers, car/van drivers, international truck/lorry drivers, and ambulance car drivers). Hypotheses were tested using multivariate statistical method (regression analysis) and analysis of variance. Data were collected by structured questionnaire comprised of three parts: socio-demographic data, basic psychosocial factors causing low back pain, and incidence, duration and severity of low back pain as a result of psychosocial risk factors, was implemented. Results: The results of quantitative survey suggest that low back pain is mostly caused by lifting and carrying heavy loads, inadequate working conditions, poor physical fitness, regular nights out, shift work, and stress. Only the impact of gender on low back pain distress among professional drivers was confirmed, predominantly among bus drivers and lorry drivers on international routes. Low back pain occurrence was less common, albeit not statistically significant, among professional drivers of vans and passenger cars. Conclusion: Our study suggests that psychosocial factors are also important cause for the development of low back pain among professional drivers and can limit the quality of their social and professional lives.